ABSTRACT
With today’s competitive business environment, companies are faced with the challenge of making timely decisions based on big data to improve productivity. The Lack of smart analytics tools makes it difficult for many manufacturing systems to manage big data. Several industries are facing the challenges of maintaining their competitiveness while taking advantage of new opportunities as a result of the rapid advancement of information and communication technologies (ICTs). In the case of digital manufacturing, computers and related technologies are used to control all aspects of the assembly process. A cyber-physical system (CPS) consists of computation, communication, and physical processes. In which the industry is being transformed into the next level. Communication and intelligence can help increase the competitiveness of manufacturing by improving efficiency, flexibility, and sustainability. Industry 4.0 relies heavily on key technologies such as Internet of Things, cloud computing, machine-to-machine communications, 3D printing, and big data. Through CPS, the systematic transformation of massive data into information is enabled, allowing degradations and inefficiencies that would otherwise be invisible to be defined and visualized for optimal decision-making. A systematic architecture for implementing CPS in manufacturing is discussed briefly in this paper, followed by a survey of existing trends in the development of industrial big data analytics and CPS. We discuss the 5C CPS architecture and how it enables the integration of CPSs into the manufacturing industry. Finally, we view a case study that illustrates smart machines being designed via the 5C CPS architecture.
